Basque manufacturing cooperative validating digital manufacturing and human-AI teaming technologies in live production environments.
GOIMEK is a Basque manufacturing cooperative based in Deba, Spain, that brings real production floor expertise into EU research consortia working on digital manufacturing technologies. Their participation in OPTIMISED and TEAMING.AI shows a consistent pattern: they act as an industrial end-user and real-world validator, contributing manufacturing operational knowledge that academic and technology partners cannot replicate on their own. In OPTIMISED they helped develop tools that connected simulation models with actual empirical production data; in TEAMING.AI they contributed to platforms that allow AI systems and human workers to collaborate effectively on the shop floor. Their value to any consortium is the credibility of a practicing manufacturer who tests ideas where they actually need to work.
OPTIMISED (2015-2018) directly targeted operational planning tools that bridge manufacturing simulations with empirical production data, a domain requiring deep shop-floor knowledge.
TEAMING.AI (2021-2024) focused on platforms enabling human workers and AI systems to co-maintain and evolve AI tools in active manufacturing settings.
Both projects are RIA-type research actions where GOIMEK's role as a practicing manufacturer provides the real-world grounding that validates research outcomes.
TEAMING.AI specifically addresses the underexplored problem of keeping AI systems accurate and current after deployment in manufacturing operations.
In their first EU project (OPTIMISED, 2015-2018) GOIMEK's focus was on the interface between simulation models and real factory data — a fundamentally data-integration challenge aimed at better operational planning. By their second project (TEAMING.AI, 2021-2024) the emphasis had shifted from optimizing existing processes to managing the evolving relationship between human workers and AI systems on the shop floor. This is a meaningful progression: from using data to improve decisions, to building the human-machine trust structures needed as AI becomes a co-worker rather than just a tool. The gap between projects (2018-2021) suggests selective, quality-first engagement with EU research rather than continuous participation.
GOIMEK is moving toward research on AI governance and human-machine collaboration, signaling interest in consortia working on responsible AI deployment, explainable AI in industrial settings, or workforce adaptation to automation.
GOIMEK has participated exclusively as a consortium partner, never taking on coordination responsibilities — a typical posture for an industrial SME that contributes use-case expertise rather than driving research agendas. Both their projects were RIA actions with large multi-country consortia (averaging roughly 13-14 partners per project), suggesting comfort operating within complex research partnerships where their role is well-defined as an industrial validator. This makes them a low-friction partner for consortia that need a credible manufacturing end-user but do not need GOIMEK to manage the project.
GOIMEK has built a network of 27 unique consortium partners across 11 countries through just two projects, reflecting the broad, multinational composition typical of EU RIA consortia. No geographic concentration is visible from the data, suggesting their partnerships are driven by research topic fit rather than regional proximity.
As a cooperative manufacturer — not a research institute, not a consultancy — GOIMEK offers something rare in EU consortia: a company with skin in the game that tests technologies in live production environments where failure has real costs. Their cooperative ownership structure, rooted in the Basque Country's industrial tradition, gives them organizational stability and a long-term operational perspective that purely commercial SMEs often lack. For a consortium building a proposal around AI or digital manufacturing, GOIMEK brings the "does this actually work on the factory floor?" credibility that makes projects fundable and results publishable.
